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Journal Papers (* indicates corresponding author)
  1. D. Crouch, H. Huang, "Musculoskeletal model-based control interface mimics physiologic hand dynamics during path tracing task", Journal of Neural Engineering, 14(3), 036008, 2017
  2.  

  3. D. Crouch, H. Huang, "Lumped-Parameter Electromyogram-Driven Musculoskeletal Hand Model: A Potential Platform For Real-Time Control", Journal of Biomechanics, 49(16), pp.3901-07, 2016
  4.  

  5. F. Zhang, P. Bohlen, M. Lewek, H. Huang*, "Prediction of intrinsically caused trips in individuals with stroke", IEEE Trans Neural Syst Rehabil Eng, 2016 (accepted)
  6.  

  7. Y. Wen, J. Si, X. Gao, S. Huang, H. Huang*, " A new powered lower limb prosthesis control framework based on adaptive dynamic programming", IEEE Trans on Neural Network and Learning Systems, 2016 (In Press)
  8.  

  9. H. Huang*, D. Crouch, M. Liu, G. Sawicki, D. Wang, "A cyber expert system for auto-tuning powered prosthesis impedance control parameters", Annals Biomedical Engineering, 44(5), pp. 1613-24, 2016
  10.  

  11. M. Liu, D. Wang, H. Huang*, "Development of an environment-aware locomotion mode recognition system for powered lower limb prostheses", IEEE Trans Neural Syst Rehabil Eng, 24(4) pp. 434-43, 2016
  12.  

  13. F. Zhang*, M. Liu, H. Huang, "Investigation of timing to switch control mode in powered knee prostheses during task transitions", PLoS One, (10) 7, 2015
  14.  

  15. J. L. Contreras-Vidal*, A. Kilicarslan, H. Huang, R. G. Grossman, "Human-Centered design of wearable neuroprostheses and exoskeletons", AI Magazine, 36(4), 12-22, 2015
  16.  

  17. X. Zhang, H. Huang*, “A real-time, practical sensor fault-tolerant module for robust EMG pattern recognition”, Journal of NeuroEngineering and Rehabilitation, 12:18, 2015
  18.  

  19. A. C. Myer, H. Huang, Y. Zhu*, “Wearable Silver Nanowire Dry Electrodes for Bioelectronic Sensing”, RSC Advances, 5(15), pp. 11627-32, 2015
  20.  

  21. G. Hefferman, F. Zhang, M. Nunnery, H. Huang*, “Integration of surface EMG sensors with the transfemoral amputee socket: a comparison of four differing configurations”, Prosthetics and Orthotics International, (39) 2, 166-173 2015
  22.  

  23. F. Zhang, M. Liu, H. Huang*, "Effects of locomotion mode recognition errors on volitional control of powered above-knee prostheses", IEEE Trans Neural Syst Rehabil Eng, 23(1), pp. 64-72, 2015
  24.  

  25. F. Zhang, M. Liu, S. Harper, M Lee, H. Huang*, “Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis”, Journal of Visualized Experiments, (89), e51059, 2014
  26.  

  27. M. Liu*, F Zhang, P. Datseris, H. Huang, “Improving finite state impedance control of active transfemoral prostheses using Dempster-Shafer state transition rules”,Journal of Intelligent and Robotic Systems, (76) 3-4, pp 461-74,2014
  28.  

  29. F. Zhang*, H. Huang, “Source selection for real-time user intent recognition towards volitional control of artificial legs”,  IEEE Journal of Biomedical and Health Informatics, 17(5), 907-14, 2013
  30.  

  31. L. Du, F. Zhang, M. Liu, H. Huang*, “Towards Design of an Environment-aware Adaptive Locomotion-Mode-Recognition System”, IEEE Trans Biomed Eng, 59(10): 2716-25, 2012
  32.  

  33. X. Zhang, Y. Liu, F. Zhang, Y. Sun, Q. Yang, H. Huang*, “On design and implementation of neural-machine interface for artificial legs”, IEEE Transactions on Industrial Informatics, Vol. 8(2), 418-29, 2012
  34.  

  35. F. Zhang, S.E. D’Andrea, M.J. Nunnery, S. Kay, H. Huang*. “Towards design of a stumble detector for artificial legs”. IEEE Trans Neural Syst Rehabil Eng, Vol. 19(5): 567-77, 2011
  36.  

  37. H. Huang*, F. Zhang, L. Hargrove, Z. Dou, D. Rogers, K. Englehart, “Continuous Locomotion Mode Identification for Prosthetic Legs based on Neuromuscular-Mechanical Fusion”, IEEE Trans Biomed Eng, 58(1), pp2867-75,2011
  38.  

  39. Y. Cao, H He*, H Huang. “LIFT: A New Framework of Learning from Testing Data for Face Recognition”. Neurocomputing, 74(6),  pp. 916-929,  2011
  40.  

  41. H. Huang*, F Zhang, Y Sun, H He “Design of a Robust EMG Sensing Interface for Pattern Classification”, Journal of Neural Engineering, vol. 7(5), pp 0565, 2010
  42.  

  43. D. Tkach, H Huang*, TA Kuiken, “Stability of time-domain EMG features for prosthetic device control", Journal of NeuroEngineering and Rehabilitation, 7(1):21, 2010
  44.  

  45. H. Huang, P. Zhou*, G. Li, and T. Kuiken, "Spatial filtering improves EMG classification accuracy following targeted muscle reinnervation," Ann Biomed Eng, vol. 37, pp. 1849-57, 2009.
  46.  

  47. H. Huang*, T. A. Kuiken, and R. D. Lipschutz, "A strategy for identifying locomotion modes using surface electromyography," IEEE Trans Biomed Eng, vol. 56, pp. 65-73, 2009. (One of most cited papers in IEEE TBME in recent 5 years) 
  48.  

  49. L. A. Miller*, R. D. Lipschutz, K. A. Stubblefield, B. A. Lock, H. Huang, T. W. Williams, 3rd, R. F. Weir, and T. A. Kuiken, "Control of a six degree of freedom prosthetic arm after targeted muscle reinnervation surgery," Arch Phys Med Rehabil, vol. 89, pp. 2057-65, 2008.
  50.  

  51. H. Huang, P. Zhou, G. Li, and T. A. Kuiken*, "An analysis of EMG electrode configuration for targeted muscle reinnervation based neural machine interface," IEEE Trans Neural Syst Rehabil Eng, vol. 16, pp. 37-45, 2008.
  52.  

  53. P. Zhou, M. M. Lowery, K. B. Englehart, H. Huang, G. Li, L. Hargrove, J. P. Dewald, and T. A. Kuiken*, "Decoding a new neural machine interface for control of artificial limbs," J Neurophysiol, vol. 98, pp. 2974-82, 2007.
  54.  

  55. T. G. Sugar*, J. He, E. J. Koeneman, J. B. Koeneman, R. Herman, H. Huang, R. S. Schultz, D. E. Herring, J. Wanberg, S. Balasubramanian, P. Swenson, and J. A. Ward, "Design and control of RUPERT: a device for robotic upper extremity repetitive therapy," IEEE Trans Neural Syst Rehabil Eng, vol. 15, pp. 336-46, 2007.
  56.  

  57. H. Huang, S. L. Wolf, and J. He*, "Recent developments in biofeedback for neuromotor rehabilitation," J Neuroeng Rehabil, vol. 3, pp. 11, 2006. (Ranked as the #6 all-time most viewed article in JNER in 2013
  58.  

  59. H. Huang, J. He*, R. Herman, and M. R. Carhart, "Modulation effects of epidural spinal cord stimulation on muscle activities during walking," IEEE Trans Neural Syst Rehabil Eng, vol. 14, pp. 14-23, 2006.
  60.  

Book Chapters
  1. SL. Wolf, H. Huang, “Chapter 70: Evolution of Biofeedback in Physical Medicine and Rehabilitation”, in DeLisa’s Physical Medicine and Rehabilitation: Principles and Practice, 5th edition, eds. W. Frontera, Philadelphia : Lippincott Williams & Wilkins, 2010

 

Peer-Reviewed Conference Papers
  1. Y. Wen, A. Brandt, M. Liu, J. Si, H. Huang, Comparing Parallel and Sequential Control Parameter Tuning for a Powered Knee Prosthesis, Conf. Proc. IEEE Systems, Man, Cybernetics, 2017 (Accepted)
  2.  

  3. S. Chang, D. Crouch, H. Huang, Effects of output speed threshold on real-time continuous EMG human-machine interface control, Conf. Proc. IEEE Systems, Man, Cybernetics, 2017 (Accepted)
  4.  

  5. L. Pan, D. Crouch, H. Huang, Musculoskeletal Model for Simultaneous and Proportional Control of 3-DOF Hand and Wrist Movements from EMG Signals, Conf. Proc. IEEE Neural Engineering, 2017
  6.  

  7. W Zhang, M White, M Zahabi, AT. Winslow, F Zhang, H Huang, D Kaber, Cognitive Workload in Conventional Direct Control vs. Pattern Recognition Control of an Upper-limb Prosthesis, Conf Proc. IEEE International Conference on Systems, Man, and Cybernetics, pp. 002335-002340, 2016
  8.  

  9. D. Crouch, H. Huang, Simple EMG-Driven Musculoskeletal Model Enables Consistent Control Performance During Path Tracing Tasks, Conf Proc IEEE Eng Med Biol Soc, 2016 (Accepted)
  10.  

  11. Y. Wen, M. Liu, J. Si, H. Huang, Adaptive Control of Powered Transfemoral Prostheses Based on Adaptive Dynamic Programming, Conf Proc IEEE Eng Med Biol Soc, 2016 (Accepted)
  12.  

  13. A. Brandt, M. Liu, H. Huang, Does the Impedance of Above-knee Powered Prostheses Need to Adjusted for Load-carrying Conditions? Conf Proc IEEE Eng Med Biol Soc, 2016 (Accepted)
  14.  

  15. F. Zhang, M. Liu, H. Huang, Tolerance of Neural Decoding Errors for Powered Artificial Legs: a Pilot Study, Conf Proc IEEE Eng Med Biol Soc, 2016 (Accepted)
  16.  

  17. Anna Winslow, Justin Brantley, Fangshi Zhu, José Contreras-Vidal, He Huang, Corticomuscular Coherence Variation throughout the Gait Cycle during Overground Walking and Ramp Ascent: A Preliminary Investigation, Conf Proc IEEE Eng Med Biol Soc, 2016 (Accepted)
  18.  

  19. M. Liu, P. Bohlen, H. Huang, Effect of Environmental Factors on Level of Tripping Disturbance: A Simulation Study, Conf Proc IEEE Eng Med Biol Soc, 2016 (Accepted)
  20.  

  21. Justin Brantley, Trieu Phat Luu, Recep Ozdemir, Fangshi Zhu, Anna Winslow, He Huang, José Contreras-Vidal*, Noninvasive EEG Correlates of Overground and Stair Walking, Conf Proc IEEE Eng Med Biol Soc, 2016 (Accepted)
  22.  

  23. F. Zhang, M. Liu, H. Huang, “Detection of Critical Errors of Locomotion Mode Recognition for Volitional Control of Powered Transfemoral Prostheses”, Proc of IEEE Engineering in Medicine and Biology Society, 2015
  24.  

  25. D. Crouch, H. Huang, “Musculoskeletal Model Predicts Multi-joint Wrist and Hand Movement From Limited EMG Control Signals”, Proc of IEEE Engineering in Medicine and Biology Society, 2015
  26.  

  27. T. Yang, F. Wu, M. Liu, H. Huang, “An Optimization-based Approach for Prosthesis Dynamic Modeling and Parameter Identification”, 2015 Dynamic Systems and Control Conference, 2015
  28.  

  29. J. Liu, F. Zhang, H. Huang,"An Open and Configurable Embedded System for EMG Pattern Recognition Implementation for Artificial Arms", Conf Proc IEEE Eng Med Biol Soc, 2014 (Accepted)
  30.  

  31. A. Myers, L. Du,Y. Zhu, and H. Huang, "?Novel Wearable EMG Sensors based on Nano-Wire Technology",Conf Proc IEEE Eng Med Biol Soc, 2014 (Accepted)
  32.  

  33. F. Zhang, H. Huang, "Practical Implementation of Robust Sensor Interface for EMG Pattern Recognition for Artificial Arm Control",International Conference on Advanced Limb Prosthetics (MEC'14) , (Accepted)
  34.  

  35. D. Wang, M. Liu, H. Huang, “Design of An Expert System to Automatically Calibrate Impedance Control for Powered Knee Prostheses”, Conf Proc IEEE ICCOR, 2013
  36.  

  37. F. Zhang, H. Huang, “Decoding Movement Intent of Patient with Multiple Sclerosis for the Powered Lower Extremity Exoskeleton”, Conf Proc IEEE Eng Med Biol Soc, pp. 4957-4960, 2013
  38.  

  39. R. Hernandez, X. Zhang, F. Zhang, Q. Yang, H.Huang, “Design and Implementation of a Low Power Mobile CPU Based Embedded System for Artificial Leg Control”, Conf Proc IEEE Eng Med Biol Soc, pp. 5769-5772, 2013
  40.  

  41. L. Du, F. Zhang, H. He, H. Huang, “Improving the Performance of a Neural-Machine Interface for Prosthetic Legs Using Adaptive Pattern Classifiers”, Conf Proc IEEE Eng Med Biol Soc, pp. 1571-1574, 2013
  42.  

  43. X. Zhang, Y. Qing, H. Huang, “Real-Time Implementation of a Self-Recovery EMG Pattern Recognition Interface for Artificial Arms”, Conf Proc IEEE Eng Med Biol Soc, pp. 5926-5929, 2013
  44.  

  45. D. Wang, L Du, H. Huang,  "Terrain Recognition Improves the Performance of Neural-Machine Interface for Locomotion Mode Recognition", International Conference on Computing, Networking and Communications, Workshops Cyber Physical System, pp. 87-92, 2013
  46.  

  47. F. Zhang, M. Liu, H. Huang, “Preliminary Study of the Effect of User Intent Recognition Errors on Volitional Control of Powered Lower Limb Prostheses”, Conf Proc IEEE Eng Med Biol Soc, pp. 2768-2771, 2012
  48.  

  49. R. Hernandez, F. Zhang, X. Zhang, H. Huang, Q. Yang, “Promise of a Low Power Mobile CPU Based Embedded System in Artificial Leg Control”, Conf Proc IEEE Eng Med Biol Soc, pp. 5250-5254, 2012
  50.  

  51. X. Zhang, D. Wang, Q. Yang, H. Huang,  “An Automatic and User-Driven Training Method for Locomotion Mode Recognition for Artificial Leg Control”, Conf Proc IEEE Eng Med Biol Soc, pp. 6116-6120, 2012
  52.  

  53. X. Zhang, H. Huang, Q. Yang, "Implementing an FPGA System for Real-Time Intent Recognition for Prosthetic Legs", Design Automation Conference, pp. 169-175, 2012
  54.  

  55. F. Zhang, H. Huang, “Real-time recognition of user intent for neural control of aritifcial legs”, International Conference on Advanced Limb Prosthetics (MEC’11), 155-8, 2011
  56.  

  57. F. Zhang, Z. Dou, M. Nunnery, and H. Huang, "Real-time implementation of an intent recognition system for artificial legs," Conf Proc IEEE Eng Med Biol Soc, 2011, pp. 2997-3000, 2011.
  58.  

  59. X. Zhang, H. Huang, and Q. Yang, "A special purpose embedded system for neural machine interface for artificial legs," Conf Proc IEEE Eng Med Biol Soc, 2011, pp. 5207-10, 2011.
  60.  

  61. F. Zhang, Z. Fang, M. Liu, and H. Huang, "Preliminary design of a terrain recognition system," Conf Proc IEEE Eng Med Biol Soc, 2011, pp. 5452-5, 2011.
  62.  

  63. H. Huang, Z. Dou, F. Zhang, and M. J. Nunnery, "Improving the performance of a neural-machine interface for artificial legs using prior knowledge of walking environment," Conf Proc IEEE Eng Med Biol Soc, 2011, pp. 4255-8, 2011.
  64.  

  65. Y. Liu, F. Zhang, Y. L. Sun, and H. Huang, "Trust sensor interface for improving reliability of EMG-based user intent recognition," Conf Proc IEEE Eng Med Biol Soc, vol. 2011, pp. 7516-20, 2011.
  66.  

  67. F. Gao, F. Zhang, and H. Huang, "Investigation of sit-to-stand and stand-to-sit in an above knee amputee," Conf Proc IEEE Eng Med Biol Soc, 2011, pp. 7340-3, 2011
  68.  

  69. M. Liu, P. Datseris, and H. Huang, "A prototype for smart prosthetic legs: analysis and mechanical design," in Proceeding of International Conference on Control, Robotics and Cybernetics. New Delhi, India: IEEE, March 21-23, Vol. 1. pp. 139-143, 2011.
  70.  

  71. F. Zhang, W. DiSanto, J. Ren, Z. Dou, Q. Yang, H. Huang, “A Novel CPS System for Evaluating a Neural-Machine Interface for Artificial Legs”, in Proceeding of 2nd ACM/IEEE International Conference on Cyber-Physical Systems, Chicago, IL, pp 67-76, 2011
  72.  

  73. X. Zhang, Q Yang, H. Huang, “Design and implementation of a special purpose embedded system for Neural Machine Interface”, Conf Proc IEEE International Conference on Computer Design, Amsterdam, Netherland, pp 166-172, 2010
  74.  

  75.  H. Huang, Y. Sun, Q, Yang, F. Zhang, X Zhang, Y. Liu, J. Ren, F. Sierra, “Integrating neuromuscular and cyber systems for neural control of artificial legs”, in Proceeding of First ACM/IEEE International Conference on Cyber-Physical Systems, Stockholm, Sweden,  pp. 129-138, 2010
  76.  

  77. Lin, X. Zhang, H. Huang, and Q. Yang, "Design and implementation of an embedded system for neural-controlled artificial legs," in IEEE Workshop on Health Care Management. Venice, Italy, pp. 1-6, 2010
  78.  

  79. L. J. Hargrove, H. Huang, A. E. Schultz, B. A. Lock, R. Lipschutz, and T. A. Kuiken, "Toward the development of a neural interface for lower limb prosthesis control," Conf Proc IEEE Eng Med Biol Soc, vol. 1, pp. 2111-4, 2009.
  80.  

  81. W. Xiao, H. Huang, Y. Sun, and Q. Yang, "Promise of embedded system with GPU in artificial leg control: Enabling time-frequency feature extraction from electromyography," Conf Proc IEEE Eng Med Biol Soc, vol. 1, pp. 6926-9, 2009.
  82.  

  83. S. Balasubramanian, H. Huang, and J. He, "Quantification of dynamic property of pneumatic muscle actuator for design of therapeutic robot control," Conf Proc IEEE Eng Med Biol Soc, vol. 1, pp. 2734-7, 2006.
  84.  

  85. Y. Chen, H. Huang, W. Xu, R. I. Wallis, H. Sundaram, T. Rikakis, T. Ingalls, L. Olson, and J. He, "The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation," in The 14th Annual ACM International Conference on Multimedia. Santa Barbara: ACM Press: New York,  pp. 763-72, 2006
  86.  

  87. H. Huang, Y. Chen, W. Xu, H. Sundaram, L. Olson, T. Ingalls, T. Rikakis, and J. He, "Novel design of interactive multimodal biofeedback system for neurorehabilitation," Conf Proc IEEE Eng Med Biol Soc, vol. 1, pp. 4925-8, 2006.
  88.  

  89. H. Huang, T. Ingalls, L. Olson, K. Ganley, T. Rikakis, and J. He, "Interactive multimodal biofeedback for task-oriented neural rehabilitation," Conf Proc IEEE Eng Med Biol Soc, vol. 3, pp. 2547-50, 2005.
  90.  

  91. J. He, E. Koeneman, H. Huang, G. T. Sugar, R. Herman, and J. B. Koeneman, " Design of a Robotic Upper Extremity Repetitive Therapy Device," in Proceeding of IEEE 9th International conference on rehabilitation robotics. Chicago, IL, 2005, pp. 511-4.
  92.  

  93. J. He, E. J. Koeneman, R. Schultz, D. Herring, J. Wanberg, H. Huang, T. Sugar, R. Herman, and J. B. Koeneman, "RUPERT: a Device for Robotic Upper Extremity Repetitive Therapy," Conf Proc IEEE Eng Med Biol Soc, vol. 7, pp. 6844-7, 2005.
  94.  

  95. H. Huang and H. Jiping, "Utilization of biomechanical modeling in design of robotic arm for rehabilitation of stroke patients," Conf Proc IEEE Eng Med Biol Soc, vol. 4, pp. 2718-21, 2004.
  96.  

  97. H. Huang, A. Papandreou-Suppappola, and H. Jiping, "Analysis of surface electromyogram during gait by modified mathcing pursuit decomposition," in Conf Proc IEEE Eng Med Biol Soc, vol. 3. Cancun, Mexico, 2003, pp. 2402-5.
  98.  

  99. M. R. Carhart, W. Willis, A. Thompson, H. Huang, S. D'Luzansky, J. Thresher, R. Herman, and J. He, "Mechanical and metabolic change in gait performance with spinal cord stimulation and reflex-FES," in Conf Proc IEEE Eng Med Biol Soc, vol. 2. Cancun, Mexico, 2003, pp. 1558-61.
  100.  

  101. P. Kuchi, R. Hiremagalur, H. Huang, M. Carhart, J. He, and S. Panchanathan, "DRAG: A Database for Recognition and Analysis of Gait," in Proceeding of Internet Multimedia Management Systems, vol. 5242. Orlando, FL, 2003, pp. 115-24.
  102.  

  103. H. Huang, J. He, M. Carhart, and R. Herman, "Change of muscle activation pattern by epidural stimulation on a SCI patient," in Conf Proc IEEE Eng Med Biol Soc, vol. 1. Houston, TX, 2002, pp. 114-5
  104.